compute_change: Compute change
In tonyelhabr/tetext: Tony's Personal Package for Text Analysis

Description Usage Arguments Details Value See Also

Compute change in token usage over time.

compute_change_at(data = NULL, token = NULL, timebin = NULL, bin = TRUE,
  timefloor = NULL, top_pct = 0.25, only_signif = FALSE,
  signif_cutoff = 0.1, return_models = TRUE, return_data = FALSE,
  return_both = FALSE)

compute_change(..., token, timebin, timefloor)

`data`	data.frame.
`token`	bare for NSE; character for SE. Name of column in `data` corresponding to token.
`timebin`	bare for NSE; character for SE. Name of column in `data` specifying temporal period to use to compute change.
`bin`	logical. Whether or not to call `lubridate::floor_date()` to truncate `timebin`.
`timefloor`	character. Name of column passed directly to `unit` parameter of `lubridate::floor_date()` if `bin = FALSE`.
`top_pct`	numeric. Number between 0 and 1. Useful primarily to limit the number of models that need to be computed and to reduce 'nose' regarding what is deemed significant.
`only_signif`	logical. Whether or not to return rows with a significant p-value.
`signif_cutoff`	numeric. Number between 0 and 1. Value to use as 'maximum' threshhld for significance. Only used if `only_signif = TRUE`.
`return_models`	logical. Whether to return just the models. This is probably the preferred option when calling `compute_change_at()` directly.
`return_data`	logical. Whether to 'bytime' data which is used as the `data` parameter in `stats::glm()` for creating models. Needed when using `visualize_change_at()`.
`return_both`	logical. Set to `TRUE` when `visualize_change_at()`.
`...`	dots. Parameters to pass directly to `visualize_time()`.